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Debunking myths of vector search and LLMs with Leo Boytsov
Vector Podcast
Advancements in Dense Search Technologies
This chapter explores the evolution of dense search technologies, focusing on algorithms like HNSW and NMSleep. It details collaborative efforts among researchers, the challenges faced in scaling search capabilities, and the historical context of graph-based retrieval. The narrative emphasizes the significance of unexpected collaborations and innovations that have shaped the field of vector databases and search methodologies.
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